Abstract
An intense study is required to place a fast-food restaurant strategically. Several aspects should be taken into account to locate the restaurant in the right location to give owners high profit or gain; e.g. population income, city type, trading activity behavior, location distance to hustle in the city, etc. In addition, the simulated annealing (SA) was used as a main method for optimizing process. The other method fuzzy-logic was operated as well to define the selected parameters’ priority based on experts’ justification. The decision support model (DSM) based on SA-optimization and fuzzy-concept was constructed then. It practically proposed the best location alternative coming from a lot of alternatives. Here, three locations in Tangerang and Jakarta were undertaken as a research object.
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References
Černỳ, V.: Thermodynamical approach to the traveling salesman problem: an efficient simulation algorithm. J. Optim. Theory Appl. 45(1), 41–51 (1985)
Chen, L.F., Tsai, C.T.: Data mining framework based on rough set theory to improve location selection decisions: a case study of a restaurant chain. Tourism Manag. 53, 197–206 (2016)
Dock, J.P., Song, W., Lu, J.: Evaluation of dine-in restaurant location and competitiveness: applications of gravity modelling in Jefferson County, Kentucky. Appl. Geogr. 60, 204–209 (2015)
Glock, C.H.: Decision support models for managing returnable transport items in supply chain: a systematic literature review. Int. J. Prod. Econ. 183(B), 561–569 (2017)
Hong, T., Koo, C., Jeong, K.: A decision support model for reducing electric energy consumption in elementary school facilities. Appl. Energy 95, 253–266 (2012)
Kim, D., Leigh, J.P.: Are meals at full-service and fast-food restaurants “normal” or “inferior”? Popul. Health Manag. 14(6), 307–315 (2011)
Kirkpatrick, S., Gelatt, C.D., Vecchi, M.P.: Optimization by simulated annealing. Science 220(4598), 671–680 (1983)
Kunsoon, P.: Identification of Site Selection Factors in the U.S. Franchise Restaurant Industry: An Exploratory Study. Master of Science Thesis, Virginia Polytechnic Institute and State University (2002)
Mathiassen, L., Munk-Madsen, A., Nielsen, P.A., Stage, J.: Object-Oriented Analysis and Design. Marko Publishing ApS, Aalborg Denmark (2000)
Min, H.: A multiobjective retail service location model for fastfood restaurants. Omega 15(5), 429–441 (1987)
Pattanaik, L.N., Yadav, G.: Decision support model for automated railway level crossing system using fuzzy logic control. Procedia Comput. Sci. 48, 73–76 (2015)
Piltan, M., Sowlati, T.: A multi-criteria decision support model for evaluating the performance of partnerships. Expert Syst. Appl. 45, 373–384 (2016)
Rosenfeld, Y., Shohet, I.M.: Decision support model for semi-automated selection of renovation alternatives. Autom. Constr. 8(4), 503–510 (1999)
Sloan, C., Caudill, S.B., Mixon, F.G.: Entrepreneurship and crime: the case of new restaurant location decisions. J. Bus. Ventur. Insights 5, 19–26 (2016)
Syam, S.S., Bhatnagar, A.: A decision support model for determining the level of product variety with marketing and supply chain considerations. J. Retail. Consum. Serv. 25, 12–21 (2015)
Thornton, L.E., Lamb, K.E., Ball, K.: Fast food restaurant locations according to socioeconomic disadvantages, urban-regional locality, and schools within Victoria, Australia. SSM Popul. Health 2, 1–9 (2016)
Tzeng, G.H., Teng, M.H., Chen, J.J., Opricovic, S.: Multicriteria selection for a restaurant location in Taipei. Int. J. Hosp. Manag. 21(2), 171–187 (2002)
Utama, D.N.: The Optimization of the 3-D Structure of Plants, Using Functional-Structural Plant Models. Case Study of Rice (Oryza sativa L.) in Indonesia. Ph.D Thesis, Georg-August Universität Göttingen (2015)
Zadeh, L.A.: Fuzzy logic = computing with words. IEEE Trans. Fuzzy Syst. 4(2), 103–111 (1996)
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Utama, D.N., Putra, M.R., Su’udah, M., Melinda, Z., Cholis, N., Piqri, A. (2017). SA-Optimization Based Decision Support Model for Determining Fast-Food Restaurant Location. In: Silhavy, R., Senkerik, R., Kominkova Oplatkova, Z., Prokopova, Z., Silhavy, P. (eds) Artificial Intelligence Trends in Intelligent Systems. CSOC 2017. Advances in Intelligent Systems and Computing, vol 573. Springer, Cham. https://doi.org/10.1007/978-3-319-57261-1_33
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DOI: https://doi.org/10.1007/978-3-319-57261-1_33
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